A Hybrid Instrumented/Computational Modelling Framework with Lab-on-Sensor Design and Calibration for Structural Behaviour Monitoring

Abstract

In this paper, societal needs on the use of SHM in bridge preservation will first be reviewed and used to promote the re-alignment of SHM outcomes to daily practices in bridge inspection and maintenance. A hybrid instrumented/computational modelling framework to extend the emerging concept of lab-on-sensor design and calibration into bridge preservation application will then be envisioned with the acquisition of mission-critical data for structural behaviors. Next, current sensor technologies and future opportunities along this line of research will be discussed with several examples. Finally, the acquired data will be used to quantify the nonlinear behavior of critical structural elements and thus their material parameters and uncertainties. For other structural elements, material prarameters and uncertainties will be statistically correlated to those of the critical structural elements in a multi-scale computational model of representative bridges in a transportation network.

Department(s)

Civil, Architectural and Environmental Engineering

Research Center/Lab(s)

INSPIRE - University Transportation Center

Keywords and Phrases

Structural Health Monitoring; Structural Behavior; Computational Model; Bridge Network

International Standard Serial Number (ISSN)

2043-863X; 2043-8621

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Inderscience Enterprises Ltd., All rights reserved.

Publication Date

01 Jan 2017

Link to Full Text

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